Software Engineer II, AdTech

About the Role

Uber invests a substantial annual marketing budget to attract and engage customers-including Riders, Drivers, Couriers, and Eaters-across a variety of channels, from traditional TV and print ads to digital mobile and web advertising.

The AdTech team is responsible for building the technological foundation to scale this advertising effort. We leverage data science, including models and LLMs, to achieve intelligent optimization and automation throughout the entire process. Our work spans the advertising loop, from initial budgeting and spend allocation to the granular optimization of which content is shown to whom and when. By maximizing the efficiency of a multi-billion-dollar advertising budget, the AdTech team is a critical enabler of Uber's growth, sharply focused on maximizing user acquisition and retention through effective marketing.

The Measurement and Optimization team within Ad Tech is seeking talented individuals to drive automated, intelligent decision-making for Uber's marketing investment. This is a high-impact role where you will define and execute the technical roadmap to measure, test, automate, and optimize Uber's significant marketing and brand spend. This work is crucial, as it directly drives substantial cost savings and contributes to Uber's growth across users, trips, and gross bookings.

Join us if you are interested in building Uber's next-generation Marketing platform

• Experience: At least 3 years of software engineering experience

• Education: Bachelor's degree in Computer Science, Physics, Mathematics, or a related technical field, or equivalent practical experience.

• Coding:
  Proven knowledge of Python, Spark, Java 8+ or Golang is a must-have with at least 2 years of recent experience in either.

• Data Processing and Analysis: Experience in Batch/Stream data processing and Big Data technology and analysis.

• Architecture:
  Knowledge of data structures and an eye for architecture. You can discuss the tradeoff between architectural choices, both on a theoretical level and on an applied level.

• Strong coding/debugging abilities:
  You have advanced knowledge of at least one programming language and are happy to learn more. Our core languages are Python, Golang, and Java.

• Big data:
  Experience with Distributed systems such as Hadoop, Hive, Spark, Kafka, Vertica is preferred.

• Data pipeline:
  All our systems are data-driven and data drives the majority of the decisions made, Strong understanding in SQL, Database. Experience in building a data pipeline is nice to have. Love getting your hands dirty with the data implementing custom ETLs to shape it into information.

• Fast learner:
  We're looking for software engineers who thrive on learning new technologies and don't believe in one-size-fits-all solutions. You should be able to adapt easily to meet the needs of our massive growth and rapidly evolving business environment.

• A team player:
  You believe that you can achieve more on a team -- that the whole is greater than the sum of its parts. You rely on others' candid feedback for continuous improvement.

• Design and business acumen:
  You understand requirements beyond the written word. Whether you're working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details leads to a delightful user experience.

• Design and Deliver: Design, build, and deliver end-to-end marketing features that track, measure, report, execute and test and on Billions of ad spend and achieve efficient return on investment.

• Develop Services and products: Design, develop, and operate highly scalable and reliable services and backend systems to handle channel-specific complexities.

• AI Infrastructure Modernization: Modernize our tech stack to build a relevant contextual layer for AI-driven systems. Bridge the gap between petabyte-scale data and LLMs by developing low-latency retrieval systems and knowledge architectures that power highly accurate and context-aware AI features.

• Data Engineering: Consume petabyte-scale impression and click-level data. Leverage experience with large-scale data and Big Data technologies to build scalable data pipelines that support various ad tech use cases.

• Cross-Functional Collaboration: Work closely with Product Management, Data Science, and Marketing to experiment with new optimization strategies and build scalable production systems to operationalize successful approaches.

• Platform Integration: Collaborate with other Uber engineering teams to leverage and influence the roadmap of internal platforms like Michelangelo (ML), Bullseye (Audience Builder), Morpheus (Experimentation), and Flow (Workflow Automation).

• Keep the bar high on sustainable engineering by following best engineering practices, producing best in class of code, documentation, testing and monitoring.

• Experience: At least 3 years of software engineering…